DocumentCode
943026
Title
Analysis of adaptive differential PCM of a stationary Gauss - Markov input
Author
Gerr, Neil L. ; Cambanis, Stamatis
Volume
33
Issue
3
fYear
1987
fDate
5/1/1987 12:00:00 AM
Firstpage
350
Lastpage
359
Abstract
An adaptive matched differential pulse-code modulator (AMDPCM) is analyzed. The adaptation of the symmetric uniform quantizer parameter
is performed by fixed multipliers assigned to the quantizer output levels. The input is stationary first-order Gauss-Markov. The correlation of the samples is used as the leakage parameter in the matched integrator, with the predictive reconstruction similarly matched. For a
-level quantizer and multipliers
the limiting joint distribution of the prediction error and
is derived and the asymptotic sample-point and time-averaged mean-square error (rose) and mean and variance of
as functions of
are computed and plotted. It is found that the asymptotic performance of AMDPCM does not depend on the choice of
, that the increase in mse incurred by using A(M)DPCM instead of (M)DPCM with
is small, with mse(A(M)DPCM)
mse ((M)DPCM) as
, and that the signal-to-noise ratio of AMDPCM does not depend on the input power.
is performed by fixed multipliers assigned to the quantizer output levels. The input is stationary first-order Gauss-Markov. The correlation of the samples is used as the leakage parameter in the matched integrator, with the predictive reconstruction similarly matched. For a
-level quantizer and multipliers
the limiting joint distribution of the prediction error and
is derived and the asymptotic sample-point and time-averaged mean-square error (rose) and mean and variance of
as functions of
are computed and plotted. It is found that the asymptotic performance of AMDPCM does not depend on the choice of
, that the increase in mse incurred by using A(M)DPCM instead of (M)DPCM with
is small, with mse(A(M)DPCM)
mse ((M)DPCM) as
, and that the signal-to-noise ratio of AMDPCM does not depend on the input power.Keywords
Differential pulse-code modulation; Markov processes; Delta modulation; Feedback; Gaussian processes; Information theory; Phase change materials; Pulse modulation; Quantization; Signal to noise ratio; Statistics;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1987.1057318
Filename
1057318
Link To Document